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Research On The Tourist Flow Feature Of Scenic Area Based On Fractal Statistical Model €” A Case Of Zhangjiajie

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  • SIYUAN DU

    (Economics School of Southwestern, University of Finance and Economics, Chengdu 610064, P. R. China†Research Center for Smart Tourism, Technology Application and Innovation of Sichuan Tourism University, Chengdu 610100, P. R. China)

  • ADEL A. BAHADDAD

    (��Information System Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia)

  • MAOZHU JIN

    (�Business School, Sichuan University, Chengdu 610065, P. R. China)

  • QIAN ZHANG

    (�Economic and Management School, Chengdu Agricultural College, Chengdu 610000, P. R. China)

Abstract

The purpose is to apply the fractal statistical model to analyze tourist flow feature of scenic area, and promote the effective performance of scenic area. Zhangjiajie scenic area is taken as an example. First, its natural resources characteristics, ecological environment and problems in the development of scenic area are analyzed in detail; moreover, fractal theory and fractal dimension calculation method are elaborated; finally, wavelet transform is proposed to analyze the nonlinear transformation characteristics of tourist flow. The results show that the changes of the high-frequency layer H1, H2, H3 and H4 all have cyclical fluctuations in the change of tourist flow. The change range of tourist flow in spring and autumn is relatively large, and the tourist flow in winter is low. Inbound tourism tourist flow has a certain seasonal regularity, with obvious characteristics of low and peak seasons. Wulingyuan scenic spot and Tianmen Mountain scenic spot of Zhangjiajie have three non-scale ranges, which are related to the scale and change of tourist flow. The concentration of inbound tourist flow in the peak season still exists in both scenic spots, and it is more and more serious. Tourist flow of inbound tourists from April to May and from September to October is large, accounting for more than half of the annual tourist flow, while most of the other periods are in the off-season.

Suggested Citation

  • Siyuan Du & Adel A. Bahaddad & Maozhu Jin & Qian Zhang, 2022. "Research On The Tourist Flow Feature Of Scenic Area Based On Fractal Statistical Model €” A Case Of Zhangjiajie," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(02), pages 1-12, March.
    • Handle: RePEc:wsi:fracta:v:30:y:2022:i:02:n:s0218348x2240103x
    DOI: 10.1142/S0218348X2240103X
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